Extract_Kerguelen_Plateau_Environmental_Layers

This dataset contains environmental layers used to model the predicted distribution of demersal fish bioregions for the paper: Hill et al. (2020) Determining Marine Bioregions: A comparison of quantitative approaches, Methods in Ecology and Evolution. It contains climatological variables from satell...

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Bibliographic Details
Other Authors: HILL, NICOLE A. (hasPrincipalInvestigator), HILL, NICOLE A. (processor), RAYMOND, BEN (processor), Australian Antarctic Data Centre (publisher)
Format: Dataset
Language:unknown
Published: Australian Antarctic Data Centre
Subjects:
biota
oceans
EARTH SCIENCE &gt
BIOSPHERE &gt
ECOSYSTEMS &gt
MARINE ECOSYSTEMS &gt
DEMERSAL
PELAGIC
MARINE ECOSYSTEMS
FISH
EARTH SCIENCE
BIOLOGICAL CLASSIFICATION
ANIMALS/VERTEBRATES
SEA SURFACE TEMPERATURE
DEMERSAL FISH BIOREGIONS
ENVIRONMENTAL LAYERS
Computer &gt
Computer
MODELS
EARTH SCIENCE SERVICES
OCEAN &gt
SOUTHERN OCEAN &gt
KERGUELEN PLATEAU
HEARD AND MCDONALD ISLANDS
GEOGRAPHIC REGION &gt
POLAR
Southern Ocean
Kerguelen
Heard
McDonald Islands
Online Access:https://researchdata.edu.au/extractkerguelenplateauenvironmentallayers/1463504
https://doi.org/10.26179/5f055cd217aa8
https://data.aad.gov.au/metadata/records/AAS_4124_Extract_Kerguelen_Plateau_Environmental_Layers
http://nla.gov.au/nla.party-617536
Description
Summary:This dataset contains environmental layers used to model the predicted distribution of demersal fish bioregions for the paper: Hill et al. (2020) Determining Marine Bioregions: A comparison of quantitative approaches, Methods in Ecology and Evolution. It contains climatological variables from satellite and modelled data that represent sea floor and sea surface conditions likely to affect the distribution of demersal fish including: depth, slope, seafloor temperatures, seafloor current, seafloor nitrate, sea surface temperature, chlorophyll-a standard deviation and sea surface height standard deviation. Layers are presented at 0.1 degree resolution. "prediction_space" is a Rda file for R that consists of two objects: env_raster: a raster stack of the environmental layers pred_sp: a data.frame version of the env_raster where some variables have been transformed for statistical analysis and bioregion prediction. "Env_data_sources.xlsx" contains a description of each environmental variable and it's source.

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